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Metro mid-senior ML architect with broad ML/GenAI skills at a known AI firm increases competition.
High domain specificity: ML/GenAI production, NLP, LLM and cloud skills limit cross-industry transferability.
Multiple mandatory technical filters (6+ years, ML/NLP/LLM, PySpark, production and cloud) create strict shortlisting.
Design and develop high-level machine learning solution architectures and collaborate with offshore big-data and analytics teams to build, test, and optimize predictive models.
Develop and productionize machine learning code, models, and end-to-end ML systems including data pipelines.
Mentor junior ML engineers and engage with clients to understand latent needs and communicate insights that drive quantifiable business impact.
6+ years of professional experience in machine learning or related roles.
Proficiency in Python, PySpark, SQL, and hands-on experience with NLP, LLMs, and statistical modeling techniques (e.g., Logistic Regression, Cluster Analysis).
Experience with cloud services, specifically AWS and ideally SageMaker.
Work location must be Bangalore, Mumbai, or Trivandrum.
Experienced in leading end-to-end ML system design and production deployment in client-facing environments.
Strong analytical skills coupled with ability to generate business insights and sales opportunities.
Comfortable managing distributed teams and mentoring junior engineers with effective communication skills.